Data representation, distributions, and statistical variability using sampling and inference techniques. Integrates probability models, compound events, bivariate patterns, and linear models to guide data-driven decision making.
A grading rubric for the 'Data Detectives' project, categorizing student performance across data collection, graph accuracy, analysis, and conclusions.
A student-facing project guide that outlines the specific components required for the final 'Data Detectives' case portfolio, including evidence logs, visual profiling, and the final verdict.
A student-facing data collection worksheet designed for the 'Data Detectives' project, including space for frequency tables, field notes, and hypotheses.
Engaging slide presentation for the 'Data Detectives' project, introducing the core concepts of data literacy, graph types, and the project requirements.
A comprehensive teacher lesson plan for the 'Data Detectives' project, outlining phase-by-phase instructions, discussion prompts, and curriculum alignment for grades 6-8.
A comprehensive teacher facilitation guide including instructional tips, common student misconceptions, and a complete answer key for all lesson materials.
A comprehensive teacher guide providing lesson objectives, a step-by-step facilitation script, and targeted Tier 2 support strategies for the Data Shape Shifters lesson.
A concise formative assessment probe for students to demonstrate their mastery of identifying and creating data displays. Includes identification, error analysis, and a mini-creation task.
A comprehensive teacher facilitation guide providing instructional scripts, Tier 2 scaffolding strategies, pacing suggestions, and a detailed answer key for all student materials.
A formal progress monitoring tool for the end of the lesson. Includes multiple-choice, short answer, and matching questions to assess student understanding of measures of center vs. variation.
A final progress monitoring tool for students to identify outliers and select the appropriate measure of center for a given data set.
Two parallel progress monitoring probes (A and B) for assessing student mastery of calculating and interpreting mean, median, and range within context.
A formative assessment exit ticket for summarizing numerical data sets. It requires students to independently identify context, calculate mean and median, find the MAD, and write a concluding summary sentence.
A set of 6 visual vocabulary cards for students to cut out, featuring symmetric, skewed, uniform, center, spread, and outlier with clear diagrams and definitions.
Answer key for the Fair Share Lab workbook, providing correct values and explanations for teacher use.
Scaffolded practice worksheet for creating dot plots, histograms, and box plots. Includes a hands-on dot plot activity, a frequency table for histograms, and a 5-number summary guide for box plots.
A teacher protocol guide providing specific instructions for hands-on 'Stat Lab' activities, including balance points with rulers and human median lines. Includes key discussion questions and answer keys for student materials.
A collaborative project sheet where pairs of students compare two data sets (Locker A vs Locker B) and use measures of center and variability to determine which is heavier, accounting for an outlier in Locker A.
A concise exit ticket for progress monitoring. It asks students to construct a simple dot plot and identify the median from a box plot, followed by a confidence self-assessment.
A scaffolded lab report worksheet for students to record and analyze numerical data. It includes structured sections for observations, mean/median calculation, a MAD scaffolding table, and a fill-in-the-blank summary paragraph.
A teacher-facing facilitator guide for the Variability Vault intervention lesson. Includes objectives, step-by-step instructions, discussion prompts, and common student misconceptions.
A formative assessment exit ticket for students to demonstrate their ability to identify and write statistical questions. Includes multiple choice, question writing, and a definition check.
Short progress monitoring probe to assess student understanding of statistical questions and data variability.
A guided practice worksheet for writing statistical questions from scenarios and converting non-statistical questions into statistical ones. Features structured answer areas and detective tips.
Collaborative revision activity where students transform non-statistical questions into statistical ones by introducing groups and variability.
A concise exit ticket for monitoring student progress on identifying statistical questions, justifying their reasoning using the concept of variability, and creating their own questions.
A guided worksheet for comparing data sets through real-world contexts like sports performance and weather stability, featuring interpretation sentence frames.
A student-facing activity workbook for the Fair Share Lab, providing guided space for recording hands-on data explorations and a final formative assessment.
A 2-page student worksheet where they build and analyze dot plots. Students physically draw or place stickers to create symmetric and skewed distributions, then compare two bus time datasets.
